Model reduction procedure for stable nonlinear systems

Salim Ibrir, Maamar Bettayeb

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

New model-reduction numerical procedure for a class of stable nonlinear systems is proposed. The proposed design is devoted to a spacial class of nonlinear systems whose nonlinearities are not necessarily Lipschitz with respect to its arguments. Additionally, the systems under consideration may contain uncertain parameters, having known lower and upper bounds. The computation of the reduced-model matrices is achieved by solving a set of linear matrix inequalities in iterative manner. An illustrative example is studied to approve the proposed theoretical results.

Original languageEnglish
Title of host publication2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479984220
DOIs
StatePublished - 12 Mar 2015

Publication series

Name2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Convex Optimization
  • Model Reduction
  • Nonlinear Systems

ASJC Scopus subject areas

  • General Energy
  • General Engineering
  • General Computer Science

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